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Targeting of human DNA polymerase ι to the replication machinery via interaction with PCNA

Open access
Haracska, Lajos, Johnson, Robert E., Unk, Ildiko, Phillips, Barbara B., Hurwitz, Jerard, Prakash, Louise, Prakash, Satya·2001·Proceedings of the National Academy of Sciences

Abstract

Human DNA polymerase ι (hPolι) promotes translesion synthesis by inserting nucleotides opposite highly distorting or noninstructional DNA lesions. Here, we provide evidence for the physical interaction of hPolι with proliferating cell nuclear antigen (PCNA), and show that PCNA, together with replication factor C (RFC) and replication protein A (RPA), stimulates the DNA synthetic activity of hPolι. In the presence of these protein factors, on undamaged DNA, the efficiency ( V max / K m ) of correct nucleotide incorporation by hPolι is increased ≈80–150-fold, and this increase in efficiency results from a reduction in the apparent K m for the nucleotide. PCNA, RFC, and RPA also stimulate nucleotide incorporation opposite the 3′-T of the (6) thymine–thymine (T-T) photoproduct and opposite an abasic site. The interaction of hPolι with PCNA implies that the targeting of this polymerase to the replication machinery stalled at a lesion site is achieved via this association.

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Metadata

Authors
Haracska, L., Johnson, R. E., Unk, I., Phillips, B. B., Hurwitz, J., Prakash, L., & Prakash, S.
Venue
Proceedings of the National Academy of Sciences
Published
2001-11-27
Volume
98
Issue
25
Pages
14256-14261
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1982897179
Cited by
193
References
4
FWCI
5.54
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Targeting of human DNA polymerase ι to the replication machinery via interaction with PCNA. https://app.cochat.ai/papers/10.1073/pnas.261560798
The paper
Haracska, L., Johnson, R. E., Unk, I., Phillips, B. B., Hurwitz, J., Prakash, L., & Prakash, S. (2001). Targeting of human DNA polymerase ι to the replication machinery via interaction with PCNA. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.261560798

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.